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Original Article
ARTICLE IN PRESS
doi:
10.25259/JNRP_288_2025

Cultural adaptation of the postpartum depression literacy scale: A pilot study

Department of Mental Health Education, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Department of Biostatistics, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Department of Community Medicine, Ramaiah Medical College, Bengaluru, Karnataka, India.
Department of Mental Health Education, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Department of Psychiatry, BGS Medical College, Bengaluru, Karnataka, India.
Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

*Corresponding author: Latha Krishnamurthy, Associate Professor, Department of Mental Health Education, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India. latha12k@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Krishnamurthy L, Philip M, Gadicherla S, Rajaram D, Acharya S, Reddy DS, et al. Cultural adaptation of the postpartum depression literacy scale: A pilot study. J Neurosci Rural Pract. doi: 10.25259/JNRP_288_2025

Abstract

Objectives:

Postpartum depression (PPD) is the most prevalent mental disorder that affects women following childbirth, yet its diagnosis and treatment are limited because of poor maternal mental health literacy. The Postpartum depression literacy can be assessed using a validated and reliable Postpartum depression literacy scale (PoDLiS) specific to different geographical and cultural contexts. Hence, this study aims to culturally adapt Postpartum depression literacy scale to Kannada, a regional language in Karnataka, India and assess its content validity and reliability.

Materials and Methods:

This cross-sectional study evaluated the content validity and reliability of the PoDLiS-Kannada version (PoDLiS-K) between July and December 2023. Around 30 mothers attending immunization clinics in Urban Primary Health Centers in Bengaluru, Karnataka, were contacted for assessing reliability. Content validity was assessed among 5 experts. Internal consistency and content validity were evaluated using Cronbach’s alpha and content validity index (CVI), respectively.

Results:

The final version of PoDLiS-K accepted all the 31 items, with only item 14 being reverse coded. The PoDLiS-K had good reliability, with a Cronbach’s alpha value of 0.85 and individual domain scores ranging from 0.64 to 0.89. The overall average CVI was 0.94, with domain-specific CVI values ranging between 0.80 and 1.00, demonstrating satisfactory content validity.

Conclusion:

This study is the first exploration to culturally adapt, translate, and validate PoDLiS to a vernacular language within the Indian context. It attempted to culturally adapt the PoDLiS to Kannada and also established good reliability and excellent validity, proving it to be a reliable tool for assessing PPD literacy among mothers within the Indian context.

Keywords

Cultural context
India
Postpartum depression literacy
Postpartum depression literacy scale
Reliability
Validity

INTRODUCTION

According to the World Health Organization, almost 1 in 5 women is estimated to suffer from mental health conditions during pregnancy or in the year after childbirth.[1] The most common mental disorder that affects women following childbirth is postpartum depression (PPD).[2] The perinatal period is characterized by a dynamic interplay of biological, psychological, and social factors that make women more susceptible to depression.[2] PPD typically begins to manifest within 2–8 weeks after childbirth, but it can also develop up to a year later. PPD affects approximately 17.22% of postpartum women globally, and a recent meta-analysis in India found an even higher prevalence of about 22%.[3,4]

Symptoms of PPD include the inability to experience pleasure, spontaneous crying, appetite and sleep disturbances, fatigue, impaired attention and concentration, feelings of guilt and despair, and even suicidal thoughts.[5] Several risk factors contribute to a new mother’s susceptibility to PPD in India, such as low maternal education, personal or familial histories of mental health disorders, exposure to adverse life events, complications during pregnancy and childbirth, giving birth to a female child, domestic violence, financial difficulties, and lack of support from spouse and family members. PPD not only affects mothers but also has negative consequences on the emotional, cognitive, and social development of the child.[4,6-9]

Several studies in India reveal that the prevalence of PPD varies from 15.8% to 48.5%. Despite its high prevalence, the diagnostic rate remains poor, with only about 40% of affected women receiving a diagnosis.[10] A major barrier to seeking care is the lack of awareness regarding PPD and its treatment options.[11,12] This underscores the importance of having accurate knowledge and appropriate attitudes toward PPD among women to enable early recognition, help seeking, and access to treatment.[11]

Jorm has defined mental health literacy (MHL) as the knowledge and beliefs that facilitate the recognition, management, and prevention of mental disorders.[13] Enhancing maternal MHL can improve women’s perceptions of PPD, foster trust in maternal mental health services, and support overall maternal well-being. Research highlights that poor MHL is a significant barrier to seeking professional help and low PPD literacy among mothers may minimize or normalize their symptoms, thus delaying access to treatment.[14] To address the same, Mirsalimi et al.[15]developed the Postpartum Depression Literacy Scale (PoDLiS), a self-report tool in the English language, designed to assess PPD literacy during the perinatal period. PoDLiS, which aligns with the broader concept of MHL, has demonstrated strong validity and reliability[15] and has been successfully administered in countries such as Iran, India, China, Saudi Arabia, and Malaysia.[16-20]

Despite the proven reliability of PoDLiS, its validity across different cultural contexts remains uncertain. The scale has been currently adapted and validated among a few languages such as Chinese and Arabic. India is known for its cultural diversity and variations in languages spoken across different states, which necessitates the compelling need to translate and validate the PoDLiS in the Indian cultural context. The study by Poreddi et al. in India revealed that only half of the postpartum mothers had adequate PPD literacy.[16] Thus, it is crucial to promote maternal MHL to improve the well-being of mothers. According to the 2011 census, the vernacular language Kannada was the eighth most spoken language in India with 43.7 million speakers.[21] The research on PPD literacy among postpartum mothers in India remains limited, partly due to the non-availability of a translated and validated literacy tool for the Indian context. To address the same, the current study aims to translate and culturally adapt PoDLiS into Kannada and determine its validity and reliability.

MATERIALS AND METHODS

Settings and sample

This study was conducted to assess the validity and reliability of the PPD Literacy Scale-Kannada version (PoDLiS-K) between July 2023 and December 2023. This was part of a larger research project, “Study on Awareness and Management Based Health Action using Video intervention (SAMBHAV)” which focuses on the development and evaluation of a video intervention on PPD.[22] The current study was conducted among mothers attending the Immunization Clinics of two Urban Primary Health Centers (UPHCs) attached to the field practice area of a tertiary medical college in Bengaluru, Karnataka, India. The 2 UPHCs closest to the college were selected through convenience sampling. A sample size of 30 mothers which is equivalent to 20% of the total sample of the main study (n = 130) was considered in consultation with the statistician. A total of 30 mothers were recruited through convenience sampling after obtaining written informed consent. The inclusion criteria included mothers aged 18 years or older, within 18 months of childbirth, and able to read and understand the Kannada language. Mothers with pre-existing medical complications were excluded.

Measures

The questionnaire consisted of two sections.

Sociodemographic details

The sociodemographic variables such as age, education, socioeconomic status, any health issues, pregnancy, and childbirth details were collected from the mothers.

PoDLiS

The original English version of the PoDLiS tool developed by Mirsalimi et al.[15] was translated and validated in this study. The original tool contained 31 items distributed under seven domains. The 7 domains include the ability to recognize PPD (6 items), knowledge of risk factors and causes (5 items), knowledge and beliefs of self-care activities (5 items), knowledge about professional help available (2 items), beliefs about professional help (2 items), attitudes which facilitate recognition of PPD and appropriate help-seeking (6 items), and knowledge of how to seek information related to PPD (5 items). All items in the scale were assessed using a 5-point Likert response format. For most items, responses ranged from “strongly disagree” to “strongly agree” except for items 7–11 which were reverse coded and ranging from “not likely at all” to “extremely likely.” The total PoDLiS score and the scores for each domain were determined by adding the values and subsequently dividing by the number of items. The item score ranged from 1 to 5, with higher scores indicating better PPD literacy. This tool was determined to have satisfactory validity and reliability with the Cronbach’s alpha coefficient of 0.78 and ranged from 0.70 to 0.83 for each domain, while the content validity index (CVI) ranged from 0.80 to 1.

Instrument adaptation

Formal permission was sought from the authors to translate and use the English version of PoDLiS into Kannada for this study.

Forward and back translation

The PoDLiS was translated into Kannada language for the assessment of PPD literacy. Following the initial forward translation, the tool was provided to subject matter experts, who independently performed a back-translation into English. The translated Kannada version was subsequently reviewed by the research team, who provided detailed feedback. Revisions were made based on the feedback, and the final tool was made available for expert consultation.

Expert consultation

A total of five experts from the fields of Psychiatry, Clinical Psychology, Clinical Nursing, Psychiatry Social Work, and Public Health were approached for content validation of the translated tool using a 4-point Likert scale (1 being “not relevant” to 4 being “highly relevant”) and to provide their feedback. All of them were knowledgeable about PPD literacy and had more than 10 years of expertise in the field. A non-face-to-face method was employed by contacting experts online for the validation, accompanied by detailed instructions. Online method was chosen to get diverse views on the language, its applicability, and linguistic compatibility from experts across the state. Later, the revised version of the tool was finalized after incorporating the feedback from experts. The final version of translated tool in consensus with experts accepted all 31 items, with reverse coding of only item 14 to accommodate the cultural context. Figure 1 depicts the process of translation and adaptation of the PoDLiS in Kannada.

Flowchart depicting the process of translation and adaptation of the postpartum depression literacy scale in Kannada.
Figure 1:
Flowchart depicting the process of translation and adaptation of the postpartum depression literacy scale in Kannada.

Data collection

The research staff received appropriate orientation and training about the data collection procedure, its aims, and steps to administer the tool. Around 30 mothers attending immunization clinics at 2 UPHCs were contacted and participated in the study following written informed consent.

Statistical analysis

The statistical analysis was conducted using IBM (International Business Machines Corporation) Statistical Package for the Social Sciences(SPSS) version 26 (IBM Corporation, Armonk, New York, United States of America). The data were entered and double-checked to ensure accurate data entry. Frequency and percentages were used to describe the sociodemographic data. Cronbach’s alpha coefficient was used to determine the internal consistency of the tool. The Cronbach’s alpha value of 0.7 and above was considered acceptable, 0.8 and above was good, and 0.9 and above was excellent. The content validity was evaluated using the CVI. The CVI ≥ 0.7 was considered to be acceptable (The Content Validity Index:2006).[23]

RESULTS

Characteristics of the participants

A total of 30 mothers who met the inclusion and exclusion criteria were considered for the study. The mean age of the mothers who participated in the study was 27.83 ± 4.15 years. The majority (80%) were homemakers, approximately half (43.3%) had completed their graduation, and a few among them were postgraduates. The sociodemographic characteristics of the participants have been presented in detail in Table 1.

Table 1: Sociodemographic characteristics of the participants (n=30).
Variables Frequency (Percentage)
Age
  ≤30 years 25 (83.3)
  >30 years 5 (16.6)
Educational qualification
  Schooling 11 (36.7)
  Pre-university and above 19 (63.3)
Occupation
  Homemaker 24 (80)
  Employed 6 (20)
Socioeconomic status
  *BPL card 10 (33.3)
  Do not have any card 20 (66.7)
Number of children
  One 15 (50)
  Two or more 15 (50)
BPL: Below poverty line

Item analysis

Reliability

The PoDLiS-K was found to have an overall Cronbach’s alpha coefficient of 0.85, indicating good reliability. Cronbach’s alpha was also calculated for all 7 domains separately and found to range from 0.64 to 0.88. The first domain, which assessed the ability to identify PPD, had a Cronbach’s alpha coefficient of 0.83. The second, third, and fourth domains, which measured knowledge of risk factors and causes, knowledge, and beliefs of self-care activities and knowledge about the availability of professional help, had coefficients of 0.80, 0.83, and 0.81, respectively. For the fifth, sixth, and seventh domains, which measured beliefs about available professional help, attitudes facilitating the recognition of PPD and appropriate help seeking, and knowledge of how to seek information related to PPD, had coefficients of 0.89, 0.80, and 0.64, respectively. The same has been illustrated in Figure 2 and Table 2.

Cronbach’s alpha and content validity index scores of postpartum depression literacy scale-Kannada version. *PPD: Postpartum depression.
Figure 2:
Cronbach’s alpha and content validity index scores of postpartum depression literacy scale-Kannada version. *PPD: Postpartum depression.
Table 2: Cronbach’s alpha and CVI for PoDLiS-K domains.
S. No. Domain Cronbach’s α CVI
1. Ability to identify PPD 0.826 0.93
2. Knowledge of risk factors and causes 0.801 1.00
3. Knowledge and beliefs about self-care activities 0.578 1.00
4. Knowledge about availability of professional help 0.809 0.80
5. Beliefs about available professional help 0.868 0.80
6. Attitudes facilitating recognition of PPD and appropriate help-seeking 0.797 1.00
7. Knowledge of how to seek information related to PPD 0.638 0.84

CVI: Content validity index, PoDLiS-K: Postpartum depression literacy scale-Kannada version, PPD: Postpartum depression

Content validity

The average CVI of PoDLiS-K was calculated to be 0.94. The CVI of 7 domains of PoDLiS-K ranged between 0.8 and 1. For the first factor – the ability to identify PPD, the CVI was found to be 0.93, followed by a CVI of 1 for the second, third, and sixth factors, i.e., knowledge of risk factors and causes, knowledge and beliefs of self-care activities, and attitudes facilitating the recognition of the PPD. The CVI for the fourth and the fifth domains about the knowledge on availability of professional help and beliefs about available professional help was 0.8 and 0.89, respectively. For the seventh domain – knowledge of how to seek information related to PPD, the CVI was 0.84. The same has been illustrated in Table 2 and Figure 2.

DISCUSSION

PPD is a prevalent mental health disorder that significantly affects the well-being of mothers, infants, and families.[4,24] The process of seeking help and obtaining a diagnosis for PPD is closely associated with PPD literacy,[25] emphasizing the critical role of awareness and education in addressing the same. This was the first attempt to cross-culturally adapt and validate the PoDLiS for the Indian population by translating it into Kannada, a native language in Karnataka. The current study did not focus on establishing the domains and employed seven factors as outlined by Mirsalimi et al.,[15] rather than the six constructs mentioned by Huang et al.,[18] and AlAteeq et al.[20] The PoDLiS-K demonstrated acceptable internal consistency and content validity, indicating that it is valid and reliable for assessing PPD literacy among mothers.

Cronbach’s alpha coefficient was used to calculate the internal consistency of the tool. It was measured at 0.85, which was higher than the original, Malay[17] and Arabic versions[20] but aligning more closely with the Chinese versions (C) of PoDLiS-C[18] and C-PoDLiS.[19] This suggests that the tool is effectively measuring the intended constructs across diverse cultural contexts. Among the seven domains analyzed, internal consistency was deemed satisfactory for most; however, the seventh domain on knowledge of seeking information on PPD exhibited a comparatively lower value of 0.64, as supported by a previous study by Poreddi et al. showing that around 50% of mothers did not have adequate PPD literacy.[16] Further, item number 14, which represents religious practices, prayer, and going to church, is helpful for preventing or managing PPD and has been reverse coded in PoDLiS-K, attributing to the cultural and traditional healing practices for mental health conditions in India. These practices have been perceived as avenues for seeking faith healing rather than as self-care practices within the Indian context. There is also a strong belief among people in India that spiritual possession, invisible entities, or supernatural powers are the source of mental disorders.[26,27] Usually, when someone in the community presents with mental illness, the family members first seek help from faith healers or religious places rather than reaching out to health professionals.[28] Given this context, consultations with experts led to the decision to reverse code item 14 rather than excluding the item to understand the beliefs among mothers. This approach aims to elucidate the understanding that faith healers are not well-equipped to address mental health conditions effectively. In contrast, item 14 was deleted in the C-PoDLiS as the majority of the participants were nonreligious, and for most of them, religious activities could not be considered as self-care activities.

Notably, Cronbach’s alpha values for domains assessing the ability to identify PPD, knowledge of risk factors and causes, knowledge and beliefs about self-care activities, beliefs regarding professional help and attitudes promoting recognition of PPD, and appropriate help-seeking were all high for PoDLiS-K compared to those reported for the original tool,[16] indicating this tool is most reliable for Indian settings. However, internal consistency for the domain related to knowledge of professional help remained consistent with the original tool’s findings. In addition, the domain focusing on knowledge regarding how to seek information related to PPD demonstrated lower internal consistency than its original counterpart and PoDLiS-C. This may possibly be due to a lack of awareness and accessible resources on PPD among postpartum mothers in India, which could prevent them from seeking information. These results suggest that the PoDLiS-K exhibits excellent internal consistency and applicability within the Indian context to better estimate PPD literacy among mothers in community settings. Future studies involving larger representative samples could focus on improving the less-scoring domains to ensure a comprehensive assessment and can also validate psychometric properties in other regional languages in India. Table 3 depicts a comparison of Cronbach’s alpha coefficients of this study with previous studies.

Table 3: Comparison of Cronbach’s alpha coefficient with the previous studies.
Studies Domain 1 Domain 2 Domain 3 Domain 4 Domain 5 Domain 6 Domain 7 Total scale
PoDLiS-K 0.83 0.80 0.83 0.81 0.89 0.80 0.64 0.85
Mirsalimi et al.[15] 0.77 0.76 0.78 0.83 0.78 0.70 0.73 0.78
Huang et al.[18] 0.86 0.87 0.84 0.77* 0.83 0.79 0.89
Guo et al.[19] 0.82 0.88 0.788 0.817 Deleted 0.797 0.679 0.86
AlAteeq et al.[20] 0.75 0.70 0.76* 0.80 0.83 0.82 0.742
Domains merged. PODLiS: Postpartum depression literacy scale, PoDLiS-K: Postpartum depression literacy scale-Kannada version

The CVI for the PoDLiS-K was 0.94, with CVI values for the seven domains ranging from 0.8 to 1, indicating satisfactory content validity, which exceeds the findings reported from Malaysia.[17] The CVI of PoDLiS-K is consistent with findings from Huang et al.[18] and Guo et al.,[19] thus indicating a robust implementation of the validation inputs. The excellent content validity underscores the PoDLiS-K as a valid tool for assessing PPD literacy among Kannada-speaking populations, enhancing its potential for effective application in both clinical and community settings.

Strengths and limitations

A notable strength of this study is that it represents the first exploration to culturally adapt, translate, and validate the instrument within the Indian context. Further, this study tried to compare the content validity and reliability measures of PoDLiS-K with the other versions of the PoDLiS tool used in culturally different geographical locations. Some of the limitations of this study include the use of a convenience sampling technique, which restricts the generalizability of the findings to the study population. Second, the small sample size and the use of a single measurement tool, because of time and resource constraints, prevented the assessment of additional psychometric properties of the tool such as construct validity or test-retest reliability. Factor analysis was not attempted in the current study as the original tool has been validated. Further studies with a larger sample size are needed to establish the construct validity of PoDLiS-K.

CONCLUSION

This study is the first exploration to culturally adapt, translate, and validate PoDLiS to a vernacular language within the Indian context. It attempted to culturally adapt the PoDLiS to Kannada and also established good reliability and excellent validity, proving it to be a reliable tool for assessing PPD literacy among mothers in community settings in India. It can further serve as a valuable instrument to evaluate the effectiveness of interventions aimed at enhancing PPD literacy in India.

Acknowledgments:

The authors express their gratitude to Mirsalimi and colleagues for consenting to use and translate the original scale. Special thanks to Ms. Deepika, former fellow, and Ms. Shreya Shankar, Fellow, Department of Mental Health Education at NIMHANS and to Dr. Prabhu Dev, Associate Editor, Publications, NIMHANS, for back-translation of the PoDLiS-K. The authors also thank the expert committee members for their valuable contributions to the tool’s validation. In addition, we acknowledge the support of the medical officer, Accredited social health activists (ASHAs) and Medical social workers (MSWs) from the immunization clinics in Mathikere and Netaji PHC, Bengaluru, for their support. Finally, we are grateful to all the mothers who took part in this study.

Ethical approval:

The research/study was approved by the Institute Ethics Committee of the National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru (Ref No. NIMHANS/37th IEC (BEH.SC.DIV)/2022), and the Ethics Committee of Ramaiah Medical College Hospital, Bengaluru (Ref No: MSRMC/EC/AP-04/06-2022). The trial is registered with the Clinical Trials Registry – India (CTRI/2023/03/050836).

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest:

There are no conflicts of interest.

Use of Artificial Intelligence (AI)-Assisted Technology for Manuscript Preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Indian Council of Medical Research has funded the proposal as an ad hoc project under an extramural research program for the year 2021 from the cycle November 18, 2021, to December 17, 2021 (Reference No 202113266).

References

  1. . Launch of the WHO guide for integration of perinatal mental health in maternal and child health services. . Geneva: World Health Organization; Available from: https://www.who.int/news/item/19-09-2022-launch-of-the-who-guide-for-integration-of-perinatal-mental-health [Last accessed on 2025 Jan 16]
    [Google Scholar]
  2. . Maternal mental health. . Geneva: World Health Organization; Available from: https://www.who.int/teams/mental-health-and-substance-use/promotion-prevention/maternal-mental-health [Last accessed on 2024 Nov 25]
    [Google Scholar]
  3. , , , , , , et al. Correction: Mapping global prevalence of depression among postpartum women. Transl Psychiatry. 2021;11:640.
    [CrossRef] [Google Scholar]
  4. , , , , , , et al. Postpartum depression in India: A systematic review and meta-analysis. Bull World Health Organ. 2017;95:706-17.
    [CrossRef] [PubMed] [Google Scholar]
  5. . WHOQOL: Measuring quality of life. . Geneva: World Health Organization; Available from: https://iris.who.int/bitstream/handle/10665/63552/who_mnh_psf_93.7a_rev.2.pdf [Last accessed on 2024 Oct 18]
    [Google Scholar]
  6. , , . Study of prevalence and risk factors of postpartum depression. Natl J Med Res. 2012;2:194-8.
    [Google Scholar]
  7. , , , , . Postpartum depression risk factors: A narrative review. J Educ Health Promot. 2017;6:60.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , . India's silent struggle: A scoping review on postpartum depression in the land of a billion mothers. Indian J Psychol Med. 2024;47:207-13.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , , . Postpartum depression in women: A risk factor analysis. J Clin Diagn Res. 2017;11:QC13-6.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , . Depression and treatment among U.S. Pregnant and nonpregnant women of reproductive age, 2005-2009. J Womens Health (Larchmt). 2012;21:830-6.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , . Depression literacy and awareness of psychopathological symptoms during the perinatal period. J Obstet Gynecol Neonatal Nurs. 2017;46:197-208.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , . Attachment and mental help-seeking in the perinatal period: The role of stigma. Community Ment Health J. 2018;54:92-101.
    [CrossRef] [PubMed] [Google Scholar]
  13. . Mental health literacy: Public knowledge and beliefs about mental disorders. Br J Psychiatry. 2000;177:396-401.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , . Women's experience of postnatal depression-beliefs and attitudes as barriers to care. Aust J Adv Nurs. 2010;27:44-54.
    [CrossRef] [Google Scholar]
  15. , , , . The postpartum depression literacy scale (PoDLiS): Development and psychometric properties. BMC Pregnancy Childbirth. 2020;20:13.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , , , . Postpartum depression: Mental health literacy of Indian mothers. Arch Psychiatr Nurs. 2021;35:631-7.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , , , , . Incidence and predictors of postpartum depression among postpartum mothers in Kuala Lumpur, Malaysia: A cross-sectional study. PLoS One. 2021;16:259782.
    [CrossRef] [PubMed] [Google Scholar]
  18. , , , , . Psychometric properties of the Postpartum Depression Literacy Scale (PoDLiS) among Chinese perinatal women: A cross-sectional study. BMC Pregnancy Childbirth. 2022;22:737.
    [CrossRef] [PubMed] [Google Scholar]
  19. , , , , , , et al. Cross-cultural adaptation and psychometric properties of the Chinese version of the postpartum depression literacy scale. Front Psychol. 2022;13:966770.
    [CrossRef] [PubMed] [Google Scholar]
  20. , , , , , , et al. Validity and reliability of the Arabic version of the population postpartum depression literacy scale (PoDLiS): A web-based survey in Saudi Arabia. BMC Pregnancy Childbirth. 2024;24:40.
    [CrossRef] [PubMed] [Google Scholar]
  21. Census of India 2011. Language atlas - India. Available from: https://censusindia.gov.in/nada/index.php/catalog/42561 [Last accessed on 2024 Nov 18]
    [Google Scholar]
  22. , , , , , , et al. Study on awareness and management based health action using video intervention (SAMBHAV) for postpartum depression among mothers attending immunisation clinic in a tertiary medical college hospital: Study protocol. PLoS One. 2024;19:e0301357.
    [CrossRef] [PubMed] [Google Scholar]
  23. , . The content validity index: Are you sure you know what's being reported? Critique and recommendations. Res Nurs Health. 2006;29:489-97.
    [CrossRef] [PubMed] [Google Scholar]
  24. , . Prevalence and associated risk factors of postpartum depression in India: A comprehensive review. J Neurosci Rural Pract. 2024;15:1-7.
    [CrossRef] [PubMed] [Google Scholar]
  25. , , , , . Postpartum depression: Literature review of risk factors and interventions Toronto: University Health Network Women's Health Program; .
    [Google Scholar]
  26. , . A review of traditional healing methods' efficacy in treating mental disorders. Int J Indian Psychol. 2024;12:4509-16.
    [Google Scholar]
  27. , , , , , , et al. Perceptions about treatment of psychiatric disorders by faith healers/psychiatrists among general public of urban and rural areas of Rawalpindi District. J Ayub Med Coll Abbottabad. 2018;30:223-8.
    [Google Scholar]
  28. , , , , . Pathways to care for patients with Bipolar-I disorder: An exploratory study from a tertiary care centre of North India. Indian J Psychol Med. 2019;41:68-74.
    [CrossRef] [PubMed] [Google Scholar]
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